Balance dysfunctions are common, especially among elderly people. Presentmethods for the diagnosis and evaluation of severity of dysfuntion have limited value.We present a system that makes it easy to implement different visual andmechanical perturbations
for clinical investigations of balance and visual-vestibular interaction. The system combines virtual reality visual stimulation with force platform posturography on a moving platform.We evaluate our contruction’s utility in a classification task between 33 healthy controls and 77 patients with Mґeni`ere’s disease, using a series of tests with different visual and mechanical stimuli. Responses of patients and controls differ significantly in parameters computed from stabilograms. We also show that the series of tests achieves a classification accuracy slightly over 80% between controls and patients.